EngineeringComputer EngineeringComputer ScienceComputer ArchitectureNeural CircuitryNeural EngineeringCortical ComputationNeural Circuit ModelingNeural CircuitsNeural NetworksSpiking Neural NetworksBrain Circuit ArchitectureComputation In Neural CircuitsEnergy-efficient ComputationNeuromorphic DevicesNeuromorphic HardwareRecurrent Cortical NetworksRecursive ModelsSpiking Network Architectures
Understanding how the brain manages billions of processing units connected via kilometers of fibers and trillions of synapses, while consuming a few tens of Watts could provide the key to a completely new category of hardware (neuromorphic computing systems). In order to achieve this, a paradigm shift for computing as a whole is needed, which will see it moving away from current "bit precise" computing models and towards new techniques that exploit the stochastic behavior of simple, reliable, very fast, lowpower computing devices embedded in intensely recursive architectures. In this paper we summarize how these objectives will be pursued in the Human Brain Project.
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Seven challenges for neuroscience.
Henry Markram · PubMed · 2014 · 73 citations · Full text
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Egidio D’Angelo, Sergio Solinas, Jesús A. Garrido et al. · PubMed · 2014 · 64 citations